Terna Nomhwange

21 papers receiving 238 citations

Peers

Terna Nomhwange
Comparison fields: 5 of 43
  • Health 123
  • Modeling and Simulation 37
  • Infectious Diseases 57
  • Epidemiology 47
  • Public Health, Environmental and Occupational Health 34
Replace Samuel Bitrus Bawa with:
Samuel Bitrus Bawa Nigeria
Ibrahim Dadari United States
Rachel Hounsell United Kingdom
Rudolf Eggers Switzerland
Tat’Yana A. Kenigsberg United States
Alex Adjagba France
Charles Korir Nigeria
Mehreen Meghani United States
Anna-Maria Hartner United Kingdom
Morgane Donadel United States
Terna Nomhwange relative to Samuel Bitrus Bawa Nigeria Samuel Bitrus Bawa's profile →
Citations per field
00.5×1.5×2×2.3×
Samuel Bitrus Bawa · 1×
Citations per year

Countries citing papers authored by Terna Nomhwange

Since Specialization
Citations

This map shows the geographic impact of Terna Nomhwange's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Terna Nomhwange with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terna Nomhwange more than expected).

Fields of papers citing papers by Terna Nomhwange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Terna Nomhwange. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Terna Nomhwange. The network helps show where Terna Nomhwange may publish in the future.

Co-authors

The 25 scholars most cited alongside Terna Nomhwange, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Terna Nomhwange Line = papers co-authored together Terna Nomhwange links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201933
2 202131
3 202224
4 201820
5 202120
6 202119
7 201813
8 202113
9 201811
10 20098
11 20188
12 20188
13 20217
14 20227
15 20186
16 20185
17 20215
18 20233
19 20233
20 20221

About Terna Nomhwange

Terna Nomhwange is a scholar working on Health, Cardiology and Cardiovascular Medicine, Modeling and Simulation, Public Health, Environmental and Occupational Health and Epidemiology, having authored 22 papers that have together received 246 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (6 papers), Vaccine Coverage and Hesitancy (4 papers), Virology and Viral Diseases (3 papers), COVID-19 epidemiological studies (2 papers), Mosquito-borne diseases and control (2 papers), Malaria Research and Control (1 paper), Health Policy Implementation Science (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Health (123 citations), Modeling and Simulation (37 citations), Infectious Diseases (57 citations), Epidemiology (47 citations) and Public Health, Environmental and Occupational Health (34 citations). Terna Nomhwange has collaborated with scholars based in Nigeria, United States and Gambia. Frequent co-authors include Oghenebrume Wariri, Fiona Braka, Esin Nkereuwem, Beate Kampmann, Olubukola T. Idoko, Bassey Effiom Edem, Faisal M. B. Shuaib, Usman Adamu, Peter Nsubuga and C. W. M. Whitty. Their work appears in journals such as BMC Public Health, Vaccine, BMJ Global Health, EClinicalMedicine and BMC Infectious Diseases.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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